| 2023 | Evaluating Biased Attitude Associations of Language Models in an Intersectional Context. | Shiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan |
| 2023 | Action Guidance and AI Alignment. | Pamela Robinson |
| 2023 | Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. | Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh |
| 2023 | What does it mean to be a responsible AI practitioner: An ontology of roles and skills. | Shalaleh Rismani, AJung Moon |
| 2023 | AI for/by the majority world: From technologies of dispossession to technologies of radical care. | Paola Ricaurte |
| 2023 | "Way too good and way beyond comfort": The trade-off between user perception of benefits and comfort in media personalisation. | Anna Marie Rezk |
| 2023 | Supporting Human-AI Collaboration in Auditing LLMs with LLMs. | Charvi Rastogi, Marco Tlio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi |
| 2023 | Investigating the Relative Strengths of Humans and Machine Learning in Decision-Making. | Charvi Rastogi |
| 2023 | GATE: A Challenge Set for Gender-Ambiguous Translation Examples. | Spencer Rarrick, Ranjita Naik, Varun Mathur, Sundar Poudel, Vishal Chowdhary |
| 2023 | True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning. | Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu |
| 2023 | Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. | Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang |
| 2023 | Navigating the Limits of AI Explainability: Designing for Novice Technology Users in Low-Resource Settings. | Chinasa T. Okolo |
| 2023 | How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making? | Saumik Narayanan, Guanghui Yu, Chien-Ju Ho, Ming Yin |
| 2023 | Exploring the Effect of AI Assistance on Human Ethical Decisions. | Saumik Narayanan |
| 2023 | Explainability in Process Mining: A Framework for Improved Decision-Making. | Luca Nannini |
| 2023 | Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores. | Alexandre Nanchen, Lakmal Meegahapola, William Droz, Daniel Gatica-Perez |
| 2023 | Social Biases through the Text-to-Image Generation Lens. | Ranjita Naik, Besmira Nushi |
| 2023 | Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data. | Keziah Naggita, Julienne LaChance, Alice Xiang |
| 2023 | Fairness Implications of Encoding Protected Categorical Attributes. | Carlos Mougan, Jos M. lvarez, Salvatore Ruggieri, Steffen Staab |
| 2023 | Changing distributions and preferences in learning systems. | Jamie Morgenstern |
| 2023 | Anticipatory regulatory instruments for AI systems: A comparative study of regulatory sandbox schemes. | Deborah Morgan |
| 2023 | Advancing Health Equity with Machine Learning. | Vishwali Mhasawade |
| 2023 | Examining the Ethics of Brain-Computer Interfaces: Ensuring Safety, the Rights and Dignity of Personhood. | Terkura Thomas Mchia |
| 2023 | Sealed Knowledges: A Critical Approach to the Usage of LLMs as Search Engines. | Nora Freya Lindemann |
| 2023 | The Bureaucratic Challenge to AI Governance: An Empirical Assessment of Implementation at U.S. Federal Agencies. | Christie Lawrence, Isaac Cui, Daniel E. Ho |